Summary
Kim Engie is a Senior Data Scientist with 11 years of experience applying statistics, ETL, and visualization to solve complex, cross-sector problems from government and healthcare to technology. Based in Redwood City, she has led data teams and product roadmaps, built graph-based data models and standardized disparate datasets to unlock previously siloed insights for multi-agency workflows. At Slalom she delivered ML, feature engineering, and production data pipelines across proof-of-concept AI projects, and at OpenLattice she combined hands-on coding with hiring and strategic technical guidance. Her background in field research, fisheries, and geospatial analysis informs a pragmatic approach to messy real-world data and policy-relevant analytics. She brings a rare mix of technical depth, people leadership, and domain experience in public-sector data compliance and equitable resource allocation.
11 years of coding experience
13 years of employment as a software developer
M.M.A., Marine Affairs, M.M.A., Marine Affairs at University of Washington
B.S., Biology, B.S., Biology at California State University, Los Angeles
Doctor of Philosophy (PhD), Geography, Doctor of Philosophy (PhD), Geography at The University of North Carolina at Chapel Hill
English, Spanish